data_dictionary: fly1.txt
description: |
This dataset provides a simple example of what survival and censoring. It provides an inuitive explanation of estimation of survival probabilities.
vars:
day:
label: Time until death
unit: days
37, 40, 43, 44, 45, 47, 49, 54, 56, 58, 59, 60, 61, 62, 68, 70, 71, 72, 73, 75, 77, 79, 89, 94, 96
day p
1 37 96%
2 40 92%
3 43 88%
4 44 84%
5 45 80%
6 47 76%
7 49 72%
8 54 68%
9 56 64%
day p
10 58 60%
11 59 56%
12 60 52%
13 61 48%
14 62 44%
15 68 40%
16 70 36%
17 71 32%
18 72 28%
day p
19 73 24%
20 75 20%
21 77 16%
22 79 12%
23 89 8%
24 94 4%
25 96 0%
37, 40, 43, 44, 45, 47, 49, 54, 56, 58, 59, 60, 61, 62, 68, ??, ??, ??, ??, ??, ??, ??, ??, ??, ??
day event
1 37 1
2 40 1
3 43 1
4 44 1
5 45 1
6 47 1
7 49 1
8 54 1
9 56 1
day event
10 58 1
11 59 1
12 60 1
13 61 1
14 62 1
15 68 1
16 70 0
17 70 0
18 70 0
day event
19 70 0
20 70 0
21 70 0
22 70 0
23 70 0
24 70 0
25 70 0
day event p
1 37 1 96%
2 40 1 92%
3 43 1 88%
4 44 1 84%
5 45 1 80%
6 47 1 76%
7 49 1 72%
8 54 1 68%
9 56 1 64%
day event p
10 58 1 60%
11 59 1 56%
12 60 1 52%
13 61 1 48%
14 62 1 44%
15 68 1 40%
16 70 0
17 70 0
18 70 0
day event p
19 70 0
20 70 0
21 70 0
22 70 0
23 70 0
24 70 0
25 70 0
37, 40, 43, 44, 45, 47, 49, 54, 56, 58, 59, 60, 61, 62, 68, ??, 71, ??, ??, 75, ??, ??, 89, ??, 96
day event
1 37 1
2 40 1
3 43 1
4 44 1
5 45 1
6 47 1
7 49 1
8 54 1
9 56 1
day event
10 58 1
11 59 1
12 60 1
13 61 1
14 62 1
15 68 1
16 70 0
17 71 1
18 70 0
day event
19 70 0
20 75 1
21 70 0
22 70 0
23 89 1
24 70 0
25 96 1
day event p
1 37 1 96%
2 40 1 92%
3 43 1 88%
4 44 1 84%
5 45 1 80%
6 47 1 76%
7 49 1 72%
8 54 1 68%
9 56 1 64%
day event p
10 58 1 60%
11 59 1 56%
12 60 1 52%
13 61 1 48%
14 62 1 44%
15 68 1 40%
16 70 0
17 71 1 30%
18 70 0
day event p
19 70 0
20 75 1 20%
21 70 0
22 70 0
23 89 1 10%
24 70 0
25 96 1 0%
data_dictionary: whas500.dat
description: |
The data represents survival times for a 500 patient subset of data from the Worcester Heart Attack Study. You can find more information about this data set in Chapter 1 of Hosmer, Lemeshow, and May.
id:
label: a sequential code from 1 to 100
age:
label: Age at Admission
unit: years
gender:
value:
Male: 0
Female: 1
hr:
label: Initial Heart Rate
unit: Beats per minute
sysbp:
label: Initial Systolic Blood Pressure
unit: mmHg
diasbp:
label: Initial Diastolic Blood Pressure
unit: mmHg
bmi:
label: Body Mass Index
unit: kg/m^2
cvd:
label: History of Cardiovascular Disease
value:
'FALSE': 0
'TRUE': 1
afb:
label: Atrial Fibrillation
value:
'FALSE': 0
'TRUE': 1
sho:
label: Cardiogenic Shock
value:
'FALSE': 0
'TRUE': 1
chf:
label: Congestive Heart Complications
value:
'FALSE': 0
'TRUE': 1
av3:
label: Complete Heart Block
value:
'FALSE': 0
'TRUE': 1
miord:
label: MI Order
value:
First: 0
Recurrent: 1
mitype:
label: MI Type
value:
non Q-wave: 0
Q-wave: 1
year:
label: Cohort Year
value:
yr1997: 1
yr1999: 2
yr2001: 3
admitdate:
label: Admission Date
format: mm/dd/yyyy
disdate:
label: Hospital Discharge Date
format: mm/dd/yyyy
fdate:
label: Date of last Follow Up
los:
label: Length of Hospital Stay
unit: Days
dstat:
label: Discharge Status from Hospital
value:
Alive: 0
Dead: 1
lenfol:
label: Follow Up Time
unit: days
fstat:
label: Vital Satus
value:
Alive: 0
Dead: 1
\[h(t)=lim_{\Delta t \rightarrow 0}\frac{P[t \le T \le t+\Delta t]/\Delta t}{P[T \ge t]}\]
\[h(t)=\frac{f(t)}{S(t)}\]